Mangrove Above-Ground Biomass and Carbon Stock in the Karimunjawa-Kemujan Islands Estimated from Unmanned Aerial Vehicle-Imagery

Wirasatriya, Anindya; Pribadi, Rudhi; Iryanthony, Sigit Bayhu; Maslukah, Lilik; Sugianto, Denny Nugroho; Helmi, Muhammad; Ananta, Raditya Rizki; Adi, Novi Susetyo; Kepel, Terry Louise; Ati, Restu Nur Afi; Kusumaningtyas, Mariska Astrid; Suwa, Rempei; Ray, Raghab; Nakamura, Takashi; Nadaoka, Kazuo

doi:10.3390/su14020706

Cited by 14 publications

(8 citation statements)

References 60 publications

(86 reference statements)

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“…In general, mangrove aboveground carbon stocks in our study sites (particularly in Pari and Lancang Kecil Islands) were comparable to those of other natural marine mangroves (Figure 2), such as in Nusa Lembongan Island (62.8 Mg C ha -1 ) [22] and Karimun Jawa Island (69.3 Mg C ha -1 ) [23]. Mangroves in the two later islands are considered well managed, as Nusa Lembongan is a part of Nusa Penida Marine Protected Area, while Karimun Jawa is a Marine National Park.…”

Section: Discussionsupporting

confidence: 67%

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Aboveground carbon stock of marine mangroves in Kepulauan Seribu Islands

Kusumaningtyas,

Kepel,

Ati

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Mangroves, as one of the important blue carbon ecosystems, store large amounts of organic carbon. In the last decades, carbon stock assessment in mangrove ecosystems has been increased intensely following international agreements targeted at reducing global carbon emission. Many studies have investigated carbon stock potential in mangrove ecosystems, however, little is known about carbon stocks of mangroves growing in carbonate setting in small islands. These marine mangroves usually receive little or no terrestrial input, thus may have limited nutrient availability to support their growth. Meanwhile, their contribution to a global carbon inventory cannot be neglected. Here, we assessed biomass carbon stock of marine mangroves in Kepulauan Seribu, Jakarta, by using published allometric equations. Data collection was conducted in seven small islands; Burung Island, Kongsi Island, Pari Island, Lancang Besar Island, Lancang Kecil Island, Pramuka Island, and Rambut Island. The total average aboveground carbon stock was 46.68 Mg C ha−1, with Rhizopora sp. as the dominant species. The highest carbon stock was measured in Pari Island (72.1 ± 30.4 C ha−1), followed by Lancang Kecil Island (62.4 ± 38.6 Mg C ha−1), Kongsi Island (54.1 ± 27.0 Mg C ha−1), Rambut Island (52.1 ± 21.6 Mg C ha-1), Burung Island (47.9 ± 21.0 Mg C ha−1), Lancang Besar Island (31.3 ± 13.8 Mg C ha−1), and the lowest was in Pramuka Island (6.8 ± 4.8 Mg C ha-1). Mangrove aboveground carbon in these islands were comparable to those in other areas. Having thousands of small islands, Indonesia thus has a significant contribution to global climate change mitigation.

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Section: Discussionsupporting

confidence: 67%

“…Figure 2. Graphic of the aboveground carbon stocks in the study sites compared to those of other Islands: Nusa Lembongan Island [22]; Lembeh Island [24]; Sangihe Island [24]; Karimun Jawa Island [23]; Berau Delta [4] and Segara Anakan Lagoon [4].…”

Section: Discussionmentioning

confidence: 99%

Aboveground carbon stock of marine mangroves in Kepulauan Seribu Islands

Kusumaningtyas,

Kepel,

Ati

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…The most dominant species in Station I or mangrove vegetation was Rhizophora stylosa Griffith. The dominance of R. stylosa in mangrove vegetation was also found in several areas in Indonesia, including Weh Island, Aceh (Dewiyanti 2010), Kemujan Island, Karimunjawa (Wirasatriya et al 2022), and Pacitan, East Java (Irwansyah et al 2021;Sholiqin et al 2021;Wiraatmaja et al 2022). This is understandable since R. stylosa can grow at habitats with low to high salinity.…”

Section: Resultsmentioning

confidence: 75%

Estimation of aboveground biomass and carbon stock in Damas Beach, Trenggalek District, East Java, Indonesia

NUR

ARIFIANI

RAMADHANDI

et al. 2022

Indo Pac J Ocean Life

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Abstract. Nur AAI, Arifiani KN, Ramadhandi AR, Sabrina AD, Nugroho GD, Kusumaningrum L, Ramdhun D, Bao TQ, Yap CK, Budiharta S, Setyawan AD. 2022. Estimation of aboveground biomass and carbon stock in Damas Beach, Trenggalek District, East Java, Indonesia. Indo Pac J Ocean Life 6: 103-109. Vegetation plays a vital role in providing environmental services in the form of storing carbon which can mitigate climate change. This study aimed to calculate Aboveground Biomass (AGB) and carbon stock in Damas Beach, Trenggalek District, East Java Province, Indonesia using an allometric equation. Biomass and carbon data at a tree (dbh >20 cm) and pole (dbh 10-20 cm) levels were collected using sampling plots distributed randomly at three stations, namely mangrove vegetation (Station I), coconut plantation (Station II), and agroforestry (Station III). The results showed that across the three research stations, there were a total of 23 plant species classified as tree and pole levels. At tree level, Rhizophora stylosa Griffith had the highest carbon stock with a value of 85.48 MgC/ha, while the lowest value was Nypa fruticans Wurmb with 0.02 MgC/ha. Similarly, at the pole level, the species with the highest carbon stock was R. stylosa, with a value of 65.88 MgC/ha, and the lowest was Theobroma cacao L. with 0.11 MgC/ha. The mangrove vegetation (Station I) had the highest carbon stock value of 200.53 MgC/ha. In contrast, the coconut plantation vegetation (Station II) has the lowest total carbon stock, with a value of 84.68 MgC/ha. Conservation and management need to be improved in the Damas Beach area because if the area is disturbed, the ability of vegetation to absorb carbon will decrease.

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“…In terms of modeling data acquisition, constructing a CPM model requires destructive measurements of a certain number of trees to obtain branch resolution data. In contrast, the remote sensing modeling method uses remote sensing means, such as airborne multispectral, terrestrial laser scanning, and airborne laser scanning [28], to acquire data, which can effectively avoid destroying trees and significantly improve efficiency and accuracy with tremendous potential for application [50] but may also bring problems such as rising costs. As for the type of models, this study chose parametric models for the convenience of the research.…”

Section: Discussionmentioning

confidence: 99%

A Method for Estimating Forest Aboveground Biomass at the Plot Scale Combining the Horizontal Distribution Model of Biomass and Sampling Technique

Zhang

et al. 2022

Forests

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Accurate estimation of small-scale forest biomass is a prerequisite and basis for trading forest carbon sinks and optimizing the allocation of forestry resources. This study aims to develop a plot-scale methodology for estimating aboveground biomass (AGB) that combines a biomass horizontal distribution model (HDM) and sampling techniques to improve efficiency, reduce costs and provide the reliability of estimation for biomass. Simao pine (Pinus kesiya var. langbianensis) from Pu’er City, Yunnan Province, was used as the research subject in this study. A canopy profile model (CPM) was constructed based on data from branch analysis and transformed into a canopy biomass HDM. The horizontal distribution of AGB within the sample plots was simulated using the HDM based on the data from the per-wood survey and compared with the results from the location distribution model (LDM) simulation. AGB sampling estimations were carried out separately by combining different sampling methods with the AGB distribution of sample plot simulated by different biomass distribution models. The sampling effectiveness of all sampling schemes was compared and analyzed, and the best plan for the sampling estimation of AGB in plot-scale forests was optimized. The results are as follows: the power function model is the best model for constructing the CPM of the Simao pine in this study; with visual comparison and the analysis of the coefficient of variation, the AGB simulated by HDM has a larger and more continuous distribution than that simulated by LDM, which is closer to the actual distribution; HDM-based sampling plans have smaller sample sizes and sampling ratios than LDM-based ones; and lastly, the stratified sampling method (STS)-HDM-6 plan has the best sampling efficiency with a minimum sample size of 10 and a minimum sampling ratio of 15%. The result illustrates the potential of the method for estimating plot-scale forest AGB by combining HDM with sampling techniques to reduce costs and increase estimation efficiency effectively.

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Mangrove Above-Ground Biomass and Carbon Stock in the Karimunjawa-Kemujan Islands Estimated from Unmanned Aerial Vehicle-Imagery

Cited by 14 publications

References 60 publications

Aboveground carbon stock of marine mangroves in Kepulauan Seribu Islands

Aboveground carbon stock of marine mangroves in Kepulauan Seribu Islands

Estimation of aboveground biomass and carbon stock in Damas Beach, Trenggalek District, East Java, Indonesia

A Method for Estimating Forest Aboveground Biomass at the Plot Scale Combining the Horizontal Distribution Model of Biomass and Sampling Technique

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